Experimental study demonstrates direct crystal growth rate control in glycine crystallization, indicating improved stability and reduced retuning under dynamic process conditions.
Key Points
To develop and evaluate a growth kinetics-based model predictive control framework with inline parameter adaptation for real-time crystal growth rate regulation in batch cooling crystallization.
Implemented a kinetics-based model predictive control (MPC) scheme using an inline single-crystal growth rate sensor in a glycine batch cooling crystallization system.
Verified proxy crystal growth measurements through micro-computed tomography scans of sampled crystal populations.
Demonstrated stable closed-loop performance with real-time parameter adaptation, substantially decreasing the need for manual controller retuning across fluctuating operating conditions.
Revealed a physical limitation in constant-growth-rate control, showing that rising supersaturation during cooling induces secondary nucleation and strains cooling capacity.